Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A multifaceted program causes lasting progress for the very poor: Evidence from six countries
2015559 citationsAbhijit Banerjee, Esther Duflo et al.Scienceprofile →
Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco
Countries citing papers authored by William Parienté
Since
Specialization
Citations
This map shows the geographic impact of William Parienté's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by William Parienté with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Parienté more than expected).
Fields of papers citing papers by William Parienté
This network shows the impact of papers produced by William Parienté. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by William Parienté. The network helps show where William Parienté may publish in the future.
Co-authorship network of co-authors of William Parienté
This figure shows the co-authorship network connecting the top 25 collaborators of William Parienté.
A scholar is included among the top collaborators of William Parienté based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with William Parienté. William Parienté is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Crépon, Bruno, Florencia Devoto, Esther Duflo, & William Parienté. (2015). Estimating the Impact of Microcredit on Those Who Take It Up: Evidence from a Randomized Experiment in Morocco. American Economic Journal Applied Economics. 7(1). 123–150.251 indexed citations breakdown →
10.
Banerjee, Abhijit, Esther Duflo, Nathanael Goldberg, et al.. (2015). A multifaceted program causes lasting progress for the very poor: Evidence from six countries. Science. 348(6236). 1260799–1260799.559 indexed citations breakdown →
Crépon, Bruno, Florencia Devoto, Esther Duflo, & William Parienté. (2011). Impact of microcredit in rural areas of Morocco: Evidence from a randomized evaluation (IGC Working Paper).20 indexed citations
17.
Crépon, Bruno, Florencia Devoto, Esther Duflo, & William Parienté. (2011). Impact of microcredit in rural areas of Morocco: Evidence from a Randomized Evaluation.116 indexed citations
18.
Parienté, William. (2005). Financial Demand and Access to Credit in Low-Income Areas of Rio de Janeiro, Brazil. 16.1 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.